AI SEO Assistant

The SEOmator AI SEO Assistant is a free chat that answers SEO and GEO questions and pulls live data into the conversation: keyword metrics, Google AI Overview citations, autocomplete terms, and company lookups. It runs on the Kimi K2.7 model on Cloudflare Workers AI, and every data answer comes from a live source (SEOmator's own data network and Google), not from the model's memory. It works in your browser, needs no signup, and keeps no history. Close the tab and the conversation is gone.

Ask it a question the way you would ask a colleague. When your question gives it something concrete to work with, such as a keyword, a domain, or a brand, it calls a tool and answers from real numbers instead of guessing. When it is a strategy question, it answers directly.

It is a research and planning assistant, not a full-site crawler. For a complete technical scan, use the free SEO Audit tool. For position tracking over time, use the Rank Tracker. The assistant is where you think out loud and pull quick numbers.

Four of the assistant's answers come from live tools rather than the model. Give it the concrete input in the middle column and it fetches real figures.

Prompts that work well:

• "Find keyword ideas for project management software and show search volume and difficulty."
• "Which keywords does notion.so already rank for in Google AI Overviews?"
• "What does Google autocomplete for technical seo audit?"
• "I sell invoicing software. Give me ten long-tail keywords with buyer intent, then tell me which look easiest to rank for."

Everything else, from content structure to on-page fixes to how to earn a citation, it answers from the model directly. When a tool fails or a query returns nothing, it tells you, rather than inventing a number.

Ranking in the blue links and getting cited in an AI answer have become two different games, and the traffic math is the reason. AI assistants read enormous amounts of the web and send almost none of it back as clicks.

In the 28 days to mid-July 2026, Cloudflare Radar measured the crawl-to-referral ratio for the major AI operators. Anthropic fetched roughly 2,300 pages for every one visit it sent back. OpenAI and Perplexity ran around 210 to 225 pages per referral. Google sat near 5 to one. The AI crawlers take your content to build an answer; they rarely hand you the click. So the unit of visibility moves from "did someone click my link" to "did the answer cite me."

That crawling is constant and identifiable. Over the same window, Radar's AI-bot traffic was led by ClaudeBot (about 19%) and GPTBot (about 10%), alongside Google's and Bing's crawlers. Of all AI crawling, roughly 47% was for model training and 11% explicitly for search, with a further 39% mixed. A real and growing share feeds the answers users see today, not only tomorrow's models.

Two things follow, and the assistant helps with both:

• See where you already show up. Ask it for a domain's AI Overview keywords to find which queries surface you in Google's AI answers. That is your current AI footprint, in real numbers.
• Keep the citation bots able to reach you. GPTBot and ClaudeBot are the AI agents that websites most often name in their robots.txt files (Cloudflare Radar). Blocking a training bot is a fair choice, but accidentally blocking the search bot quietly removes you from citations. Confirm your rules allow OAI-SearchBot, PerplexityBot, and Claude-SearchBot.

Source: Cloudflare Radar, radar/ai/bots and radar/bots/crawlers (radar.cloudflare.com), 28 days to 2026-07-19. These figures shift daily; read them as direction, not fixed values.

Each live answer maps to a specific, named source, so you can trust the number or go check it yourself.

• Keyword and competition data comes from SEOmator's own keyword data network: search volume, competition level, CPC, and keyword difficulty for the seed and its related terms.
• AI Overview visibility comes from SEOmator's ranked-keywords data, filtered to results where the domain appears as an AI Overview reference.
• Autocomplete comes straight from Google's suggest service, so you see the real phrasing, not a paraphrase.
• Company lookup resolves a name to a domain and logo, so you can aim the other tools at the right site.

Its limits are worth stating plainly. It reads the domain or keyword you hand it, not your whole site, so it will not find every broken canonical or orphan page. That is what a crawl and a full audit are for. It keeps no memory between sessions, so give it the context it needs each time. And like any model, it can be wrong on judgment calls. The live numbers are sourced; verify anything you are about to act on.

If you want to be the answer an assistant cites, a few moves matter more than the rest. Bring a page or a keyword to the assistant and work one at a time.

• Answer the question in the first two sentences. AI engines lift self-contained passages, so lead with the direct answer and add the detail after, rather than opening with a warm-up paragraph.
• Write for entities, not just keywords. Name the concept, define it in plain terms, and connect it to related ideas. Assistants map meaning, not string matches.
• Earn mentions, not only links. Brand mentions across the web now track AI visibility more closely than backlinks do. Reviews, forums, and coverage that name you build the entity the models recognize.
• Recheck robots.txt. A legacy Disallow aimed at scrapers can also block the AI search crawlers, and with them your citations.
• Track presence, not only clicks. Watch whether you are cited across ChatGPT, Perplexity, and Google AI Overviews. The assistant's AI Overview lookup is a fast way to baseline one of them.

Ask the assistant to apply any of these to your own pages. It pulls the numbers; you make the calls.